Classical event logs have the fundamental shortcoming of describing process behavior only in isolated process executions from the viewpoint of a single case entity. Most real-life processes involve multiple entities and process executions are not isolated but tightly connected - through actors and entities involved in multiple executions. This post summarizes how event graphs are … Continue reading How do Event Graphs help analyzing Event Data over Multiple Entities?
Process Mining over multiple perspectives, dimensions, objects, entities, abstraction levels, etc. is gaining a lot of attention in the process mining field in 2021. If you want to learn more about the emerging topics in Multi... Process Mining, this short guide has you covered for the workshop day (1st Nov 2021) of the 3rd International … Continue reading Guide to Multi… Process Mining talks at ICPM 2021 workshops
By Dirk Fahland. Here is a list of activites by the Process Mining vendors at ICPM that I have seen in the program that - in my view - will have a relation or show use cases for Multi… Process Mining. ABBYY, Thursday, October 8 - 12:30h: "Logistics – Application of process intelligence beyond one … Continue reading Multi… Process Mining at ICPM 2020 shown by Industry
By Dirk Fahland. Analyzing processes supported by an ERP system such as Order-to-Cash or Purchase-to-Pay are one of the most frequent use cases of process mining. At the same time, they are one of the most challenging, because the processes operate on multiple related data objects such as orders, invoices, and deliveries in n:m relations. … Continue reading Artifact-Centric Process Mining for ERP-Systems with Multiple Case Identifiers
By Dirk Fahland. In this post, I show how simple data visualizations help understanding the multi-dimensional nature of processes. Even the most simple classical business processes have important dynamics that cannot be understood by cases in isolation. The Performance Spectrum was originally designed to deliver a useful process map for analyzing logistics processes over time. … Continue reading Performance Spectrum for Analyzing Business Processes
Dirk Fahland One of the core challenges of process analytics from event data is to enable an analyst to get a comprehensive understanding of the process and where problems reside. In business process mining such an overview is obtained with a process map. It can be discovered from event data to visualize the flow in … Continue reading The Performance Spectrum
Dirk Fahland I am trying to sketch the landscape of describing, analyzing, and managing processes outside the well-established paradigm of a "BPMN process" where a process is executed in instances, and each instance is completely isolated from all other instances. Thinking about Processes Let me introduce the term "process thinking". Process-thinking is the fundamental paradigm … Continue reading Multi-Dimensional Process Thinking